🎓😎🌞 Thats a wrap! Thanks to everyone across @UCL UCL Engineering UCLmaps London Centre for Nanotechnology @isenseIRC who helped make our quantum tech summer school happen! Also a massive thanks to these awesome students who made the week a lot of fun to deliver!

Exciting news! QuEra is pleased to launch Bloqade, an open-source Julia package for the efficient emulation of quantum computation and quantum simulation based on the neutral-atom architecture! Access it at github.com/QuEraComputing…. Thanks to all involved!

The quantum Fourier transform is an MPO of bond dimension of approximately 8: arxiv.org/abs/2210.08468 (if you classically reverse the output bits). This was observed in 2014, but we give detailed arguments why, then use it to classically compute "superfast" Fourier transforms.

Our latest quantum milestone, in nature today: for the 1st time ever, Google Quantum AI has experimentally demonstrated that it's possible to reduce errors by increasing the # of qubits, bringing us a step closer to large-scale quantum computers. #GoogleAI blog.google/inside-google/…

Had the pleasure of hosting Matthew Fisher from KITP/UCSB and talking about the latest of measurement-induced physics...seen here discussing with Sofia Gonzalez Garcia

It's never a bad day to talk about tensor networks or admire the blooming California flowers 🏵️🌼 thank you to my UCSB friends for inviting me

In our new paper, we answer two questions: can we use the full exponentially large Hilbert space up to a noise limit in random circuit sampling (RCS)? And can we see that boundary experimentally? We answer yes to both, showing a phase transition in RCS. arxiv.org/abs/2304.11119

Today in nature, Google Quantum AI and collaborators have braided non-Abelian anyons for the first time. Unlike all particles observed so far, the state of two non-Abelian anyons changes when they are swapped, opening an exciting path in quantum computing nature.com/articles/s4158…

Happy to finally share this piece of joint work with amazing collaborators. Here, we looked at the complexity of contracting random projected entangled pair states (PEPS) through a statistical mechanical model and the support of numerical techniques. arxiv.org/abs/2307.11053

🚀 Exciting News! 🚀 We had our first Real AI group meeting last week, and it was a fantastic start to our journey together! It was amazing to see everyone's enthusiasm and passion for AI. At Real AI, we seek to pioneer the next frontiers of artificial intelligence for science.

More difficult than qubit fab, calibration, and spotting a good algorithm is saying goodbye to talented research students that we host. Best of luck Tom Westerhout. Thanks for all the hard work. Nikita Astrakhantsev Amir Karamlou

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

A semi-classical hike with Silke Buehler-Paschen TU Wien, Nikita Astrakhantsev, Shashwat Kumar and ... to the inspirational point Visit Santa Barbara

Very happy to finally share my work in collaboration with the Google Quantum AI team, where we developed a new variant of the DMRG algorithm and used it to perform spectroscopy of transmon arrays: arxiv.org/abs/2506.24109

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Physics to John Clarke, Michel H. Devoret and John M. Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.”

Absolutely thrilled and honored to congratulate my PhD advisor, Professor Michel H. Devoret, on winning the 2025 Nobel Prize in Physics! 🎉